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Field
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. These differences are partly driven by genetic variation, which influences cellular pathways involved in toxicity. Understanding this variation is essential for developing future safety testing strategies
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and a genuine interest in applying AI to real-world healthcare challenges are required. Prior experience integrating Large Language Models (LLMs) into applications, including prompt engineering, API
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Leibniz-Institut für Analytische Wissenschaften – ISAS – e.V. | Dortmund, Nordrhein Westfalen | Germany | 3 months ago
Developing computational framework for 3D shape modeling towards biological insights Developing AI-based representation learning framework for data-driven cell modeling Report findings and methods in
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SD-26109- POSTDOCTORAL RESEARCHER IN AI-BASED ENERGY MANAGEMENT OF RESILIENT MICROGRIDS WITH SECO...
Fixed term contract | Belvaux | 20 Months Are you passionate about research? So are we! Come and join us The Luxembourg Institute of Science and Technology (LIST) is a leading Research and
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to highly accurate, data-driven building blocks within the PDK. Close collaboration is expected with colleagues responsible for process engineering, PDK development and PIC design. The appointed person will
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. The main activities include: Designing machine learning models that can detect unusual, unsafe, or attacked operating conditions. Developing data-driven models that capture how faults and attacks spread
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TUD Dresden University of Technology, as a University of Excellence, is one of the leading and most dynamic research institutions in the country. Founded in 1828, today it is a globally oriented
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23 Jun 2026 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Engineering » Maritime engineering Engineering » Mechanical engineering Researcher Profile
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is offering two full-time PhD studentships funded by the Engineering & Physical Sciences Research Council (EPSRC) to start in the 2026-27 academic year (either September or January entry is possible
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master's degree or diploma in physics, applied mathematics, or a relevant engineering discipline Strong motivation for an interdisciplinary project that combines numerical models, simulations, and machine